get_company
Public facts about Japan Direct Trucks (Xupra K.K.): contact, what we sell, how payment works.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Public facts about Japan Direct Trucks (Xupra K.K.): contact, what we sell, how payment works.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. Calling the content 'public facts' usefully implies a read-only, unauthenticated lookup with no side effects, but it does not confirm this explicitly or mention staleness, caching, or response characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler; the three content categories are packed into a colon-delimited list and no sentence is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description needs to convey the return content, and it does so at a high level by naming contact details, product offerings, and payment mechanics. For a zero-parameter static info tool this is nearly sufficient, though slightly more specificity on scope would help.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters and the schema is empty, so there is nothing to document; the baseline of 4 applies. The description adds no param info because none is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific resource (company facts) and enumerates three content domains: contact info, product lineup, and payment process. It does not, however, distinguish itself from sibling info-lookup tools like get_import_guide, leaving the agent to infer boundaries.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied — the agent can guess this is for general company background questions, but there is no explicit when-to-use guidance, no statement of when a sibling like get_import_guide or list_news would be preferable, and no prerequisites noted. Adequate but with a clear gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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